B.Tech. | Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Programme Overview

• Artificial Intelligence and Machine Learning (AIML) is the sub-area of computer science devoted to creating software and hardware to get computers to do things that would be considered ‘intelligent’ as if people did them.
• According to the National Association of Software and Services Companies (NASSCOM), the AI sector is expected to be worth $16 trillion by 2030.
• In order to have the right skill set for the upcoming job opportunities in the areas of AI and ML, which can complement and assist the industry in adopting technology-driven solutions, CMR University is offering a wide spectrum of new-age IT programmes and AIML is one among them.
• This first of its kind B.Tech programme in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning (AIML) is specifically designed to prepare students with theoretical foundations and practical skills of Artificial Intelligence and Machine Learning and face the new world of Digital disruption and transformation.

Career Opportunities :

• Data Engineer
• Software Engineer
• Data Scientist
• AI Developer
• Research Scientist
• AI Engineer

Programme USPs

• Programmes developed on knowledge skill and ability model (KSA)
• Academic curriculum designed on Outcome Based Education (OBE), aligned with industry requirements and in sync with global certifications
• Unique Academics Delivery Model – Programmes are delivered through a unique technology enabled blended delivery model, with ‘The New 3E’s of Education’- Enable, Engage and Empower.
• Learning experience is enriched through specially developed Learning Management System (LMS)-JUNO , where students and faculty can access state of art designed content and other artifacts of the learning system like quizzes, assignments, discussion forum and News feed.

Programme Objectives

• The Bachelor of Technology(AIML) has been designed to cater to the regional, national and global requirements of professionals having expertise in designing the AIML applications.
• Graduates will be able to articulate and solve problems in the related fields and can take up interdisciplinary projects as well.
• The objective is to prepare entrepreneurs and workforce for the public and private sector in related areas.

Programme Outcomes

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
• Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
• Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• Conduct investigations of complex problems: Use research–based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• Life–long learning: Recognize the need for, and have the preparation and ability to engage in independent and life–long learning in the broadest context of technological change.

Eligibility Criteria

Applicants must satisfy one of the following minimum entry criteria:

Pass in 10+2 or equivalent examination with Physics, Mathematics, and English as compulsory subjects along with Computer Science or Chemistry or Biotechnology or Biology or any technical vocational subjects as optional with a minimum of 60% marks (55% in case of SC/ST) taken together in Physics, Mathematics and any one of the optional subjects.

For Diploma Holders :

Diploma holders in Engineering with a minimum of 50% marks in the final examination, conducted by the Board of Technical Examination, Government of Karnataka or its equivalent, are eligible for admission to the corresponding branch of Second Year Engineering.